Research Article
Machine Learning-Based Model to Predict Heart Disease in Early Stage Employing Different Feature Selection Techniques
Table 5
Feature score using FST3.
| Order | Feature | Feature name | Code | Scores |
| 1 | 3 | cp | CPT | 0.17 | 2 | 13 | thal | TS | 0.14 | 3 | 12 | ca | NMV | 0.11 | 4 | 9 | exang | EIA | 0.10 | 5 | 8 | Thalach | MHR | 0.10 | 6 | 10 | Oldpeak | OP | 0.09 | 7 | 5 | chol | CM | 0.08 | 8 | 11 | Slope | PES | 0.08 | 9 | 2 | Sex | SEX | 0.05 | 10 | 4 | trestbps | RBP | 0.03 | 11 | 1 | Age | AGE | 0.01 | 12 | 6 | fbs | FBS | 0.00 | 13 | 7 | restecg | REC | 0.00 |
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